Terminologies of Statistics | Data Science Tutorial | Online Data Science Training | Intellipaat

Описание: Intellipaat Data Science course: https://intellipaat.com/data-scientis...
This tutorial on Data Science explains Statistics and various terminologies associated with that. This tutorial also explains qualitative, quantitative, dependent and independent variables.

If you’ve enjoyed this video, Like us and Subscribe to our channel for more similar informative videos and free tutorials.
Got any questions about Data Science? Ask us in the comment section below.

Are you looking for something more? Enroll in our Data Science training course and become a certified Data Scientist (https://goo.gl/rTBCd7). It is a 35 hrs instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies

------------------------------
Intellipaat Edge
1. 24x7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs industry experience
5. Industry Oriented Courseware
6. Life time free Course Upgrade
------------------------------
Why take this course?
There is a genuine deficiency of Data Scientists and this is a noteworthy worry for Top MNCs around the globe. This implies the significant enterprises are prepared to pay as much as possible pay rates for experts with the correct Data Science aptitudes. This Training Course prepares will all the most recent innovations in Big Data, examination, and R programming. Along these lines you can without much of a stretch take your vocation to the following level after fulfillment of this Course.

------------------------------
What you will learn in this course?
This course will be covering following topics:
1. Prologue to Data Science in true, Project Life cycle, and Data Acquisition

2. Comprehend Machine Learning Algorithms

3. Concentrate the apparatuses and strategies of Experimentation, Evaluation and Project Deployment

4. Take in the idea of Prediction and Analysis Segmentation through Clustering

5. Incorporate R with Hadoop

6. Get prepared about the parts and obligations of a Data Scientist

7. Investigate ventures to introduce IMPALA

8. Live Projects on Data science, examination and Recommender Systems

9. Work on information mining, information structures, information control.

------------------------------
For more information:
Please write us to [email protected] or call us at: +91-7847955955

Website: https://goo.gl/rTBCd7

Facebook:   / intellipaatonline  

LinkedIn:   / intellipaat  

Twitter:   / intellipaat